Hypothesis Tests in R
Hypothesis Tests in R
How to Perform a Mann-Kendall Trend Test in R
A Mann-Kendall Trend Test is used to determine whether or not a trend exists in time series data. It is a non-parametric test, meaning there is...
Hypothesis Tests in R
How to Perform a Mann-Whitney U Test in R
A Mann-Whitney U test (sometimes called the Wilcoxon rank-sum test) is used to compare the differences between two independent samples when the sample distributions...
Hypothesis Tests in R
How to Identify Influential Data Points Using Cook’s Distance
Cook’s distance, often denoted Di, is used in regression analysis to identify influential data points that may negatively affect your regression model.
The formula for...
Hypothesis Tests in R
How to Calculate Standard Deviation in R (With Examples)
You can use the following syntax to calculate the standard deviation of a vector in R:
sd(x)
Note that this formula calculates the sample standard deviation...
Hypothesis Tests in R
How to Conduct a Jarque-Bera Test in R
The Jarque-Bera test is a goodness-of-fit test that determines whether or not sample data have skewness and kurtosis that matches a normal distribution.
The test...
Hypothesis Tests in R
How to Perform a Cramer-Von Mises Test in R (With Examples)
The Cramer-Von Mises test is used to determine whether or not a sample comes from a normal distribution.
This type of test is useful for determining...
Subscribe
- Never miss a story with notifications
- Gain full access to our premium content
- Browse free from up to 5 devices at once
Must read